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<div id="modeling-hemoglobin-text" class="modeling-textbox"> | <div id="modeling-hemoglobin-text" class="modeling-textbox"> | ||
<h3><em>in silico</em> design of hemoglobin mutants</h3> | <h3><em>in silico</em> design of hemoglobin mutants</h3> | ||
− | <p> | + | <p>Structure-property modeling of proteins is a notoriously difficult problem. In this model we rationally design human hemoglobin mutants in a semi data-driven manner by combining machine learning and protein engineerins. The proteins are expressed in the lab and shown to be functional. </p> |
<a class="btn btn-default" href="/Team:Lund/Model/Hemoglobin">Read more</a> | <a class="btn btn-default" href="/Team:Lund/Model/Hemoglobin">Read more</a> | ||
</div> | </div> | ||
</div> | </div> | ||
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<div> | <div> | ||
− | <img src="https://static.igem.org/mediawiki/2018/ | + | <img src="https://static.igem.org/mediawiki/2018/3/3a/T--Lund--Modeling-growthcurves.png" class="modeling-network-image flip" id="modeling-flowimage-above"> |
+ | <div id="modeling-growthcurves-text" class="modeling-textbox"> | ||
+ | <h3>Growth Curves</h3> | ||
+ | <p><em>Vitreoscilla</em> hemoglobin has revealed itself to possess many interesting properties. Here we model the growth curves of cells expressing the hemoglobin under promoters of varying strength. We show that the additional expression of the protein is deemed positive on the growth rate.</p> | ||
+ | <a class="btn btn-default" href="/Team:Lund/Model/GrowthCurves">Read more</a> | ||
+ | </div> | ||
+ | <img src="https://static.igem.org/mediawiki/2018/3/3a/T--Lund--Modeling-growthcurves.png" class="modeling-network-image flip" id="modeling-flowimage-below"> | ||
+ | </div> | ||
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+ | <div> | ||
+ | <img src="https://static.igem.org/mediawiki/2018/8/87/T--Lund--Modeling-flowcytometry.png" class="modeling-network-image flip"> | ||
<div id="modeling-flowcytometry-text" class="modeling-textbox"> | <div id="modeling-flowcytometry-text" class="modeling-textbox"> | ||
<h3>Flow Cytometry</h3> | <h3>Flow Cytometry</h3> | ||
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<a class="btn btn-default" href="/Team:Lund/Model/FlowCytometer">Read more</a> | <a class="btn btn-default" href="/Team:Lund/Model/FlowCytometer">Read more</a> | ||
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Revision as of 02:04, 18 October 2018
in silico design of hemoglobin mutants
Structure-property modeling of proteins is a notoriously difficult problem. In this model we rationally design human hemoglobin mutants in a semi data-driven manner by combining machine learning and protein engineerins. The proteins are expressed in the lab and shown to be functional.
Read moreGrowth Curves
Vitreoscilla hemoglobin has revealed itself to possess many interesting properties. Here we model the growth curves of cells expressing the hemoglobin under promoters of varying strength. We show that the additional expression of the protein is deemed positive on the growth rate.
Read moreFlow Cytometry
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